Great video overall. I just have one very important note which leads to confusion and confused me also for a while. You are plotting your signal x_z on a new axis n' but you are calling it n. Shouldn't it be x_z[n'] = x_z[n * 3]?
it seems that upsampling will not change the amplitude of the signal in frequency domain. But the first picture where you show the amplitude of signal is M/T which is a little bit confused.
I also see the same issue. Why it does not change the sampling frequency? if it is changing w it is actually changing the sampling frequency as w=2pi/T
He is showing upsampling together with lowpass filtering (together known as interpolating) which DOES change the amplitude from 1/T to 1/T_new=1/(T/M) = M/T. Also, he forget to put a tilde on omega_s on the plot of \tilde{Xs(omega)} on the right at 0:23
Great video overall. I just have one very important note which leads to confusion and confused me also for a while. You are plotting your signal x_z on a new axis n' but you are calling it n. Shouldn't it be x_z[n'] = x_z[n * 3]?
it seems that upsampling will not change the amplitude of the signal in frequency domain. But the first picture where you show the amplitude of signal is M/T which is a little bit confused.
I also see the same issue. Why it does not change the sampling frequency? if it is changing w it is actually changing the sampling frequency as w=2pi/T
He is showing upsampling together with lowpass filtering (together known as interpolating) which DOES change the amplitude from 1/T to 1/T_new=1/(T/M) = M/T.
Also, he forget to put a tilde on omega_s on the plot of \tilde{Xs(omega)} on the right at 0:23
very good video. please continue uploading :)
Thanks but @6:20 why did you divide by M instead of multiplying as was shown in @5:30 ?
@7:08 why the low pass filter has a gain of M ?
it is a really good job, congrats
Great review!
Brilliant!
thank you